Managers' Commitment to the Goals Contained in a Strategic Performance Measurement System*
Bibliographic record
Abstract
Abstract A strategic performance measurement system (SPMS) is a set of causally linked nonfinancial and financial objectives, performance measures, and goals designed to align managers' actions with an organization's strategy. This study identifies and tests features unique to the cause‐effect structure of an SPMS likely to affect an important antecedent to managerial performance: goal commitment. Companies often set difficult goals for the multiple performance measures contained in an SPMS, but research shows difficult goals are significantly more likely to lead to performance gains if individuals are committed to achieving them. Two features central to the SPMS approach are predicted to affect goal commitment: (1) the strength of the cause‐effect links among the nonfinancial and financial performance measures contained in an SPMS and (2) managers' beliefs in their ability to achieve the SPMS nonfinancial goals. Results from an experiment conducted with experienced managers show both SPMS features have a positive effect on goal commitment.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.013 | 0.060 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".